The real read.
Perspectives and guides on what healthcare AI is delivering.
ProductIs Your AI Knowledge Layer Built for Healthcare?
Every AI vendor is building a knowledge layer. In healthcare it must carry permissions, local vocabulary, and evidence. Five questions to test any vendor.
PerspectivesSeven AI Questions to Expect From Your Board
Healthcare boards have watched big data builds deliver little. Seven AI questions boards are asking now, and what management should bring to each.
PerspectivesTrust in AI Is Earned in Installments
Trust in AI builds in installments, and each one makes a bigger ask possible. How health plans and health systems earn it.
PerspectivesAI Leadership: The Buck Still Stops With the Leader
AI has changed how healthcare leaders spend their time and make decisions, but the leader still owns the outcome.
PerspectivesAI Pilot to Program: Telling a Win From an Anecdote
A win nobody defined in advance is an anecdote. How healthcare organizations turn AI pilots into programs.
PerspectivesAI Ownership: Who Should Own the Number
Every AI initiative has a builder, but few have an owner for its value. How healthcare leaders approach AI ownership.
PerspectivesHealthcare AI Adoption: Trust Beyond the C-Suite
Healthcare AI adoption follows trust. Notes from our Health Evolution Connect panel on earning it at every level, from the C-suite to the front desk.
Oct 2026Madeline DuPlessis
PerspectivesFull Measure: What It Takes to Get Real Value From AI
Healthcare organizations getting real value from AI agreed on what “working” means first. Lessons for leaders from In the Round 2026.
PerspectivesIn the Round: AI’s Full Measure From Every Seat
Healthcare leaders meet at In the Round, Oct. 12–13 in Franklin, Tennessee, to take on what AI is worth from every seat.
PerspectivesScaling AI Initiatives Without Relearning Every Lesson
Scaling AI initiatives in healthcare only gets faster when you write down what the first one taught you.
Sep 2026Katy Feldner
GuidesThe ROAI™ Mindset
Stop funding AI like an experiment, running it like software, and judging it once, if at all.
PerspectivesIt Only Takes 10 Minutes to Decide If Healthcare AI Pays Off
Most healthcare AI initiatives fail because nobody asks the right questions upfront. Three questions that decide value in ten minutes.
Sep 2026Katy Feldner
PerspectivesHealthcare Adopted AI as Fast as Everyone Else. It Just Can’t Say What It Got In Return.
Healthcare AI value can't be measured with software's metrics. Usage numbers aren't returns, and tasks completed doesn't fit a claims workflow.
Aug 2026Katy Feldner
PerspectivesEnterprise AI Doesn’t Have a Speed Problem. It Has a Measurement Problem.
Boards have stopped asking how fast. The real question is what enterprise AI is returning, and why speed alone can't answer it.
Jul 2026Michael Hollis
PerspectivesIntelligence Just Got Cheaper. Proving What You Do With It Just Got Harder.
Kimi K3 makes frontier-level AI cheap and ownable. When intelligence is a commodity, the edge is proving what you do with it.
PerspectivesThe Real Reason Your AI Investment Isn’t Paying Off
A model that worked sat unused because no one treated the nurses’ trust as the project. Change management, not the tech stack, decides whether AI pays off.
Jul 2026Katy Feldner
PerspectivesWhat Healthcare AI Can Do When It Knows How You Work
Scaling healthcare AI takes more than better models. Organizational context is what makes AI compound faster and more precise with every initiative you run.
Jun 2026Andy Fanning
PerspectivesThe Bottleneck Moved: Today’s Enterprise AI Value Problem
Is your enterprise AI ready in a day but stuck in a queue for a month? Why software delivery is now an architectural problem, not a coding one.
Jun 2026Richard Newcomb
PerspectivesWhen Fable 5’s Premium Pays Off – And When It Doesn’t
Optura's engineers tested Claude Fable 5 across three demanding workloads to show exactly when its premium cost is worth paying, and when it isn't.
Jun 2026Carlo Martinez
PerspectivesThis Is What Happens When the Right Room Exists
What surfaced when women in healthcare AI leadership gathered in Nashville for an honest cross-sector conversation about AI, access, and what it takes to move up.
Jun 2026Madeline DuPlessis
PerspectivesRethinking Tokens in the Enterprise
Token budgets don't explode because of AI. They explode because the system around AI hasn't changed.
Jun 2026Jason Symons
PerspectivesHealthcare AI Trust Starts in the Room
What building AI together does to the conversation healthcare has been avoiding, and what $200 billion in discovered value looks like in practice.
PerspectivesAI in Healthcare Doesn’t Scale on Anecdotes. Here’s What Does.
Healthcare's top executives have stopped funding AI stories. Optura CEO Andy Fanning on three themes defining healthcare AI ROI in 2026.
May 2026Andy Fanning
GuidesThe AI COE Leader Playbook for Healthcare
Build an AI COE that actually delivers.
PerspectivesFrom Strategy to Scale: How Healthcare Leaders Drive Real AI Adoption from the Top Down
ViVE 2026 in LA: leaders weren't asking what AI can do. They were asking why it isn't working yet. That's a better question.
PerspectivesAnthropic’s Healthcare Announcement Is Bigger Than Most People Realize
Anthropic’s move into healthcare raises the bar for good: AI will be judged on measurable outcomes and ROAI, not potential, and execution platforms will win.
Jan 2026Andy Fanning
PerspectivesIs the AI Value Gap Really Widening?
BCG thinks the AI value gap is widening. Optura's CEO Andy Fanning weighs in on what this means for healthcare.
Oct 2025Andy Fanning
PerspectivesFrom Pilots to Progress: What Healthcare Really Needs from AI
A year ago, Optura was a conversation about something big coming to healthcare. It is here, and the gap between building AI and benefiting from it is where the work is.
The ROAI™ Mindset.
A short guide to reimagining the work, then proving what it’s worth.
The ROAI™ dictionary.
The words that come up when AI has to prove itself, defined plainly.
- ROAI™ (Return on AI Investment).
- Measures what every AI initiative is worth: what it was approved to deliver, what it produced, and what reached the P&L.
- Value driver.
- A measurable benefit the work is expected to produce, like cost avoidance, productivity, or compliance.
- Viability.
- How feasible an idea is to deliver, given its data, systems, security, and process changes.
- Projected vs. realized.
- What the work has delivered, next to what it was approved on.
- Agentic sprawl.
- AI agents multiplying across an organization faster than anyone can track or govern them.
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